Materials for a Julia course organized by KMPSUJ in 2022.

Useful links:

• Julia webpage: https://julialang.org/
• Julia doc: https://docs.julialang.org/en/v1/
• Nice cheatsheet: https://juliadocs.github.io/Julia-Cheat-Sheet/
• Plots.jl cheatsheet: https://github.com/sswatson/cheatsheets/blob/master/plotsjl-cheatsheet.pdf

Packages discused:

• Plots (see also StatsPlots): https://docs.juliaplots.org/stable/
• DataFrames : https://dataframes.juliadata.org/stable/
• DifferentialEquations : https://diffeq.sciml.ai/stable/
• IJulia : https://julialang.github.io/IJulia.jl/stable/
• GLM : https://juliastats.org/GLM.jl/stable/
• CSV : https://csv.juliadata.org/stable/
• LsqFit : https://julianlsolvers.github.io/LsqFit.jl/latest/
• LaTeXStrings : https://github.com/stevengj/LaTeXStrings.jl

Other usefull packages (not discussed):

• Optim : https://julianlsolvers.github.io/Optim.jl/stable/
• Flux : https://fluxml.ai/Flux.jl/stable/
• NLSolve : https://github.com/JuliaNLSolvers/NLsolve.jl

Much more packages can be found here: https://juliahub.com/ui/Packages